Senior AI Consultant
Application Deadline: 31 January 2025
Department: Delivery
Employment Type: Full Time
Location: Bristol, UK
Reporting To: Tom Bruce
Compensation: £70,000 - £90,000 / year
Description
The headlines…
Role - Senior AI Consultant
Salary - £70,000 - £90,000 (DOE)
Location - Hybrid; aiming to be on-site 2-3 days per week in our Bristol HQ
A bit about us... Snap Analytics is a high-growth data analytics consultancy with offices in the UK and India. We work with enterprise clients to simplify complex data and drive business value. We're customer-centric in our approach and dedicated to helping organisations achieve their strategic goals through innovative cloud analytics solutions. We pride ourselves on using our innovative Snap 360 delivery framework, combined with a strong culture of teamwork and knowledge-sharing to consistently deliver exceptional results and ensure 100% customer satisfaction. Following our strong and continued growth within data analytics, we have begun our expansion into AI consultancy; an area of the business we are excited to continue building through the hire of a Senior AI Consultant. Joining Snap at this critical stage of growth within our AI function offers a unique opportunity to make a significant impact. You'll have the chance to shape our direction and play a key role in driving our success and strategy forward.
A bit about the role... As a Senior AI Consultant at Snap, building on your wealth of experience, you'll have the opportunity to explore a range of different tools and technologies within AI and Machine Learning; from Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to Langchain and TensorFlow. We'll also look to you to help with client interaction, the support and mentorship of more junior members of the team, and to assist in building internal capabilities for use in pre-sales engagement with clients.
Here's a breakdown of what you'll be doing...
AI/ML & Advanced Model Development:
* Designing and developing cutting-edge AI/ML models to push the boundaries of large language models (LLMs), Retrieval Augmented Generation (RAG), GraphRAG, and Langchain solutions.
* Leading end-to-end AI/ML lifecycle, from model training to deployment and post-deployment monitoring.
* Implementing and optimizing Retrieval Augmented Generation models to boost accuracy and efficiency in AI-driven systems.
Innovative AI Solutions:
* Utilizing GraphRAG techniques to develop innovative solutions that improve information retrieval, semantic search, and reasoning in AI models.
* Deploying scalable AI/ML systems by integrating models with cloud-based environments, ensuring they meet enterprise performance standards.
Model Testing & Optimization:
* Performing rigorous testing, validation, and continuous improvement on AI models to ensure robustness, reliability, and high performance.
* Monitoring deployed models for performance and accuracy, ensuring consistent optimization and updates as required.
Cross-functional Collaboration:
* Collaborating with cross-functional teams including data engineers, product managers, and business stakeholders to deliver integrated AI solutions that scale effectively.
* Participating in code reviews, architecture discussions, and technical documentation to ensure high-quality output and clarity in AI solution development.
Mentorship & Continuous Learning:
* Mentoring junior team members, providing guidance on best practices, project execution, and career development in the AI/ML space.
* Staying updated on the latest AI advancements and trends, ensuring continuous learning and application of new methods to improve AI system performance.
This role is for you if you have...
* Proven experience (5 years+) within AI/ML engineering.
* Proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
* A strong understanding of Natural Language Processing (NLP), particularly in the context of LLMs.
* Proven experience in building and optimising machine learning models, including XGBoost, Random Forest, SVM, and deep learning models.
* Experience with Langchain and the ability to build robust pipelines for deploying LLMs and RAG models and develop compelling UI with Streamlit.
* Expertise in GraphRAG for enhanced information retrieval and reasoning.
* Familiarity with data engineering practices, including ETL processes, and data pipeline orchestration tools (e.g. Apache Airflow).
* Knowledge of cloud platforms (AWS, GCP, Azure) for AI/ML model deployment and scaling.
* Knowledge of data platforms such as Snowflake, Databricks, etc.
* A Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
* Experience with DevOps/MLOps practices, including CI/CD pipelines, model monitoring, and version control (Git).
* An entrepreneurial spirit and thrive when operating in a fast-paced, start-up environment.
* Excellent verbal and written communication skills with the ability to translate business requirements into technical solutions.
* Strong problem-solving skills with the ability to translate business requirements into technical solutions.
* Experience in mentoring or leading junior team members and collaborating in a team-orientated environment.
* Exposure to data platforms like Snowflake and Databricks, etc.
* Experience with Dataiku.
* A PhD in a related field.
Here at Snap, our values drive us. So, aligning with them is incredibly important. Our values are - be Smart, be Nice, be Accountable, be Passionate. Be SNAP
So, what does being SNAP look like?
* Bringing positivity and enthusiasm to the workplace
* Being dynamic and proactive, always ready to tackle new challenges
* Having a strong attention to detail, ensuring excellence in everything you do
* Having a strong desire to learn and share knowledge
Research shows that some may hesitate to apply unless they meet every requirement. However, your unique experience, skills, and passion are what set you apart, so, we’d love to hear from you even if you don’t hit all the skills above.
What we offer...
Annual Leave - Everyone needs a healthy, happy and productive life that only comes with regular R&R. We offer a competitive annual leave allowance plus public holidays.
Flexible, Hybrid Working - We believe variety is the spice of life, so we encourage a healthy mix of office based and remote working to facilitate a great work/life balance.
Financial Wellbeing - As well as a competitive salary, we offer contributory pension schemes to allow for future financial security.
Health & Wellbeing - The well being of everyone at Snap is of great importance to the business, all employees from day 1 are entitled to private medical health insurance through Vitality.
Profit Share - Enjoy a share of our profits with a bonus at the end of each successful year.
Technical Training - Dedicated time for ongoing technical training and certification on the modern data stack.
Monthly Social Club - From surfing to pottery, once a month there is always something new to try.
UK Electric Car & Cycle to Work Schemes - We promote healthier lifestyles and reduced environmental pollution. These schemes are our way of trying to make a difference.
Enhanced Maternity & Paternity Time Off - We recognise that having a baby is an important and exciting time, so our policies are designed to make those early days as flexible as possible when it comes to juggling work commitments with the demands of a new family.
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